{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "W4oHfRp1PPeE",
    "outputId": "35938118-1c9e-447a-8c95-0c6e05821e78"
   },
   "outputs": [],
   "source": [
    "import tqdm\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "import cv2 as cv\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import *\n",
    "from tensorflow.keras.layers import *\n",
    "from tensorflow.keras.losses import *\n",
    "from tensorflow.keras.optimizers import *\n",
    "from tensorflow.keras import backend as K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 344
    },
    "id": "SJeWi0DPQKvD",
    "outputId": "a4423418-c00a-416d-faf9-d86b7d8240b1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fde5b8419d0>"
      ]
     },
     "execution_count": 2,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT ONE SAMPLE OF IMAGE IN THE DATA ###\n",
    "\n",
    "original = cv.imread(root_path+'multiclass_segmentation/original77.jpg')\n",
    "original = cv.resize(original,(224,224))\n",
    "dress = cv.imread(root_path+'multiclass_segmentation/dress77.jpg')\n",
    "dress = cv.resize(dress,(224,224))\n",
    "body = cv.imread(root_path+'multiclass_segmentation/body77.jpg')\n",
    "body = cv.resize(body,(224,224))\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.subplot(1,3,1)\n",
    "plt.title('Original')\n",
    "plt.imshow(cv.cvtColor(original, cv.COLOR_BGRA2RGB))\n",
    "plt.subplot(1,3,2)\n",
    "plt.title('Person')\n",
    "plt.imshow(cv.cvtColor(body, cv.COLOR_BGRA2RGB))\n",
    "plt.subplot(1,3,3)\n",
    "plt.title('Dress')\n",
    "plt.imshow(cv.cvtColor(dress, cv.COLOR_BGRA2RGB))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 344
    },
    "id": "Nx9cW0nzQzNT",
    "outputId": "414764d7-e385-40be-8f84-a9ac331941df"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fde5a261050>"
      ]
     },
     "execution_count": 3,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dress = cv.imread(root_path+'multiclass_segmentation/dress77.jpg',0)\n",
    "body = cv.imread(root_path+'multiclass_segmentation/body77.jpg',0)\n",
    "\n",
    "### ENCODE DRESS ###\n",
    "dress[dress == 255] = 0\n",
    "dress[dress > 0] = 255\n",
    "dress = cv.resize(dress,(224,224))\n",
    "\n",
    "### ENCODE BODY ###\n",
    "body[body == 255] = 0\n",
    "body[body > 0] = 255\n",
    "body = cv.resize(body,(224,224))\n",
    "\n",
    "### ENCODE SKIN ###\n",
    "skin = body - dress\n",
    "\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.subplot(1,3,1)\n",
    "plt.title('Person/Background')\n",
    "bg = (255 - body)/255\n",
    "plt.imshow(bg)\n",
    "plt.subplot(1,3,2)\n",
    "plt.title('Skin')\n",
    "skin = (255 - skin)/255\n",
    "plt.imshow(skin)\n",
    "plt.subplot(1,3,3)\n",
    "plt.title('Dress')\n",
    "dress = (255 - dress)/255\n",
    "plt.imshow(dress)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 395
    },
    "id": "F_LqSXUSQ-Kk",
    "outputId": "decfc2a4-c80c-4839-a1ed-fd3cf2322a13"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fde5a172f50>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### COMBINE BACKGROUND, SKIN, DRESS ###\n",
    "\n",
    "gt = np.zeros((224,224,3))\n",
    "gt[:,:,0] = (1-skin)\n",
    "gt[:,:,1] = (1-dress)\n",
    "gt[:,:,2] = bg\n",
    "\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.imshow(gt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d4j0_z6HQ-g6",
    "outputId": "0eeb3d89-a68e-462b-8b2a-0f212df47112"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 81/81 [00:01<00:00, 46.00it/s]\n"
     ]
    }
   ],
   "source": [
    "### ENCODE BACKGROUND, SKIN, DRESS FOR ALL TRAIN IMAGES ###\n",
    "\n",
    "images_original = []\n",
    "images_gt = []\n",
    "\n",
    "mean = np.zeros((224,224,3))\n",
    "n_img = 81\n",
    "\n",
    "for i in tqdm.tqdm(range(1,n_img+1)):\n",
    "    \n",
    "    original = cv.imread(root_path+'data/original/original'+str(i)+'.jpg')\n",
    "    original = cv.resize(original,(224,224))\n",
    "    images_original.append(original)\n",
    "    mean[:,:,0]=mean[:,:,0]+original[:,:,0]\n",
    "    mean[:,:,1]=mean[:,:,1]+original[:,:,1]\n",
    "    mean[:,:,2]=mean[:,:,2]+original[:,:,2]\n",
    "    \n",
    "    body = cv.imread(root_path+'data/body/body'+str(i)+'.jpg',0)\n",
    "    dress = cv.imread(root_path+'data/dress/dress'+str(i)+'.jpg',0)\n",
    "    \n",
    "    dress[dress == 255] = 0\n",
    "    dress[dress > 0] = 255\n",
    "    dress = cv.resize(dress,(224,224))\n",
    "\n",
    "    body[body == 255] = 0\n",
    "    body[body > 0] = 255\n",
    "    body = cv.resize(body,(224,224))\n",
    "\n",
    "    skin = body - dress\n",
    "    bg = (255 - body)/255\n",
    "    skin = (255 - skin)/255\n",
    "    dress = (255 - dress)/255\n",
    "    \n",
    "    gt = np.zeros((224,224,3))\n",
    "    gt[:,:,0] = (1-skin)\n",
    "    gt[:,:,1] = (1-dress)\n",
    "    gt[:,:,2] = bg\n",
    "   \n",
    "    images_gt.append(gt)\n",
    "\n",
    "mean = mean / n_img\n",
    "mean = mean.reshape((-1,224,224,3))\n",
    "\n",
    "images_original = np.asarray(images_original)\n",
    "images_gt = np.asarray(images_gt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "8VHkC996RttB"
   },
   "outputs": [],
   "source": [
    "def get_unet(mean_pixels, do_rate=0):\n",
    "  \n",
    "    inputs = Input((None, None, 3))\n",
    "    preproc = Lambda(lambda x: (x - tf.constant(mean_pixels, dtype=tf.float32)))(inputs) \n",
    "\n",
    "    conv1 = Dropout(do_rate)(Conv2D(32, (3, 3), padding='same', activation='relu')(preproc))\n",
    "    conv1 = Dropout(do_rate)(Conv2D(32, (3, 3), padding='same', activation='relu')(conv1))\n",
    "    pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n",
    "\n",
    "    conv2 = Dropout(do_rate)(Conv2D(64, (3, 3), padding='same', activation='relu')(pool1))\n",
    "    conv2 = Dropout(do_rate)(Conv2D(64, (3, 3), padding='same', activation='relu')(conv2))\n",
    "    pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n",
    "\n",
    "    conv3 = Dropout(do_rate)(Conv2D(128, (3, 3), padding='same', activation='relu')(pool2))\n",
    "    conv3 = Dropout(do_rate)(Conv2D(128, (3, 3), padding='same', activation='relu')(conv3))\n",
    "    pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n",
    "\n",
    "    conv4 = Dropout(do_rate)(Conv2D(256, (3, 3), padding='same', activation='relu')(pool3))\n",
    "    conv4 = Dropout(do_rate)(Conv2D(256, (3, 3), padding='same', activation='relu')(conv4))\n",
    "    pool4 = MaxPooling2D(pool_size=(2, 2))(conv4)\n",
    "\n",
    "    conv5 = Dropout(do_rate)(Conv2D(512, (3, 3), padding='same', activation='relu')(pool4))\n",
    "    conv5 = Dropout(do_rate)(Conv2D(512, (3, 3), padding='same', activation='relu')(conv5))\n",
    "\n",
    "    up6 = concatenate([Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same')(conv5), conv4], axis=3)\n",
    "    conv6 = Dropout(do_rate)(Conv2D(256, (3, 3), padding='same', activation='relu')(up6))\n",
    "    conv6 = Dropout(do_rate)(Conv2D(256, (3, 3), padding='same', activation='relu')(conv6))\n",
    "\n",
    "    up7 = concatenate([Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(conv6), conv3], axis=3)\n",
    "    conv7 = Dropout(do_rate)(Conv2D(128, (3, 3), padding='same', activation='relu')(up7))\n",
    "    conv7 = Dropout(do_rate)(Conv2D(128, (3, 3), padding='same', activation='relu')(conv7))\n",
    "\n",
    "    up8 = concatenate([Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(conv7), conv2], axis=3)\n",
    "    conv8 = Dropout(do_rate)(Conv2D(64, (3, 3), padding='same', activation='relu')(up8))\n",
    "    conv8 = Dropout(do_rate)(Conv2D(64, (3, 3), padding='same', activation='relu')(conv8))\n",
    "\n",
    "    up9 = concatenate([Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same')(conv8), conv1], axis=3)\n",
    "    conv9 = Dropout(do_rate)(Conv2D(32, (3, 3), padding='same', activation='relu')(up9))\n",
    "    conv9 = Dropout(do_rate)(Conv2D(32, (3, 3), padding='same', activation='relu')(conv9))\n",
    "\n",
    "    conv10 = Conv2D(3, (1, 1), activation='sigmoid')(conv9)\n",
    "\n",
    "    model = Model(inputs=inputs, outputs=conv10)\n",
    "\n",
    "    model.compile(optimizer=Adam(lr=1e-3), loss='binary_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "20Tj8DewRw25",
    "outputId": "23fa759a-cf47-40c1-e192-dc162ddd09d1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/120\n",
      "3/3 [==============================] - 15s 2s/step - loss: 1.2570 - accuracy: 0.6374\n",
      "Epoch 2/120\n",
      "3/3 [==============================] - 2s 494ms/step - loss: 0.7142 - accuracy: 0.6455\n",
      "Epoch 3/120\n",
      "3/3 [==============================] - 2s 487ms/step - loss: 0.5411 - accuracy: 0.7049\n",
      "Epoch 4/120\n",
      "3/3 [==============================] - 2s 493ms/step - loss: 0.4947 - accuracy: 0.7140\n",
      "Epoch 5/120\n",
      "3/3 [==============================] - 2s 489ms/step - loss: 0.4703 - accuracy: 0.7406\n",
      "Epoch 6/120\n",
      "3/3 [==============================] - 2s 489ms/step - loss: 0.4697 - accuracy: 0.7395\n",
      "Epoch 7/120\n",
      "3/3 [==============================] - 2s 485ms/step - loss: 0.4580 - accuracy: 0.7323\n",
      "Epoch 8/120\n",
      "3/3 [==============================] - 2s 488ms/step - loss: 0.4379 - accuracy: 0.7381\n",
      "Epoch 9/120\n",
      "3/3 [==============================] - 2s 486ms/step - loss: 0.4237 - accuracy: 0.7335\n",
      "Epoch 10/120\n",
      "3/3 [==============================] - 2s 491ms/step - loss: 0.4167 - accuracy: 0.7499\n",
      "Epoch 11/120\n",
      "3/3 [==============================] - 2s 494ms/step - loss: 0.3884 - accuracy: 0.7852\n",
      "Epoch 12/120\n",
      "3/3 [==============================] - 2s 492ms/step - loss: 0.4761 - accuracy: 0.6563\n",
      "Epoch 13/120\n",
      "3/3 [==============================] - 2s 487ms/step - loss: 0.3718 - accuracy: 0.8122\n",
      "Epoch 14/120\n",
      "3/3 [==============================] - 2s 485ms/step - loss: 0.3450 - accuracy: 0.8145\n",
      "Epoch 15/120\n",
      "3/3 [==============================] - 2s 485ms/step - loss: 0.3819 - accuracy: 0.7543\n",
      "Epoch 16/120\n",
      "3/3 [==============================] - 2s 490ms/step - loss: 0.3749 - accuracy: 0.7813\n",
      "Epoch 17/120\n",
      "3/3 [==============================] - 2s 489ms/step - loss: 0.4424 - accuracy: 0.7915\n",
      "Epoch 18/120\n",
      "3/3 [==============================] - 2s 491ms/step - loss: 0.3848 - accuracy: 0.7903\n",
      "Epoch 19/120\n",
      "3/3 [==============================] - 2s 489ms/step - loss: 0.3860 - accuracy: 0.7736\n",
      "Epoch 20/120\n",
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      "Epoch 25/120\n",
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      "Epoch 27/120\n",
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      "Epoch 30/120\n",
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      "Epoch 31/120\n",
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      "Epoch 33/120\n",
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      "Epoch 34/120\n",
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      "Epoch 35/120\n",
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      "Epoch 36/120\n",
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      "Epoch 37/120\n",
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      "Epoch 38/120\n",
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      "Epoch 39/120\n",
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      "Epoch 40/120\n",
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      "Epoch 41/120\n",
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      "Epoch 42/120\n",
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      "Epoch 43/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.1607 - accuracy: 0.9048\n",
      "Epoch 44/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.1566 - accuracy: 0.9086\n",
      "Epoch 45/120\n",
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      "Epoch 46/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.1540 - accuracy: 0.9085\n",
      "Epoch 47/120\n",
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      "Epoch 48/120\n",
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      "Epoch 49/120\n",
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      "Epoch 50/120\n",
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      "Epoch 52/120\n",
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      "Epoch 53/120\n",
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      "Epoch 54/120\n",
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      "Epoch 55/120\n",
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      "Epoch 56/120\n",
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      "Epoch 57/120\n",
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      "Epoch 58/120\n",
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      "Epoch 59/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.1196 - accuracy: 0.9308\n",
      "Epoch 60/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.1160 - accuracy: 0.9350\n",
      "Epoch 61/120\n",
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      "Epoch 62/120\n",
      "3/3 [==============================] - 2s 504ms/step - loss: 0.1142 - accuracy: 0.9351\n",
      "Epoch 63/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.1093 - accuracy: 0.9383\n",
      "Epoch 64/120\n",
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      "Epoch 65/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.1036 - accuracy: 0.9423\n",
      "Epoch 66/120\n",
      "3/3 [==============================] - 2s 492ms/step - loss: 0.1002 - accuracy: 0.9451\n",
      "Epoch 67/120\n",
      "3/3 [==============================] - 2s 504ms/step - loss: 0.1041 - accuracy: 0.9426\n",
      "Epoch 68/120\n",
      "3/3 [==============================] - 2s 505ms/step - loss: 0.0992 - accuracy: 0.9452\n",
      "Epoch 69/120\n",
      "3/3 [==============================] - 2s 495ms/step - loss: 0.1016 - accuracy: 0.9436\n",
      "Epoch 70/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.1000 - accuracy: 0.9457\n",
      "Epoch 71/120\n",
      "3/3 [==============================] - 2s 503ms/step - loss: 0.1047 - accuracy: 0.9422\n",
      "Epoch 72/120\n",
      "3/3 [==============================] - 2s 494ms/step - loss: 0.1007 - accuracy: 0.9458\n",
      "Epoch 73/120\n",
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      "Epoch 74/120\n",
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      "Epoch 75/120\n",
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      "Epoch 76/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0898 - accuracy: 0.9520\n",
      "Epoch 77/120\n",
      "3/3 [==============================] - 2s 503ms/step - loss: 0.0882 - accuracy: 0.9530\n",
      "Epoch 78/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0887 - accuracy: 0.9521\n",
      "Epoch 79/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0848 - accuracy: 0.9543\n",
      "Epoch 80/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0859 - accuracy: 0.9545\n",
      "Epoch 81/120\n",
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      "Epoch 82/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.0828 - accuracy: 0.9558\n",
      "Epoch 83/120\n",
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      "Epoch 84/120\n",
      "3/3 [==============================] - 2s 496ms/step - loss: 0.0768 - accuracy: 0.9593\n",
      "Epoch 85/120\n",
      "3/3 [==============================] - 2s 501ms/step - loss: 0.0765 - accuracy: 0.9594\n",
      "Epoch 86/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0789 - accuracy: 0.9581\n",
      "Epoch 87/120\n",
      "3/3 [==============================] - 2s 501ms/step - loss: 0.0788 - accuracy: 0.9578\n",
      "Epoch 88/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.0755 - accuracy: 0.9597\n",
      "Epoch 89/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0768 - accuracy: 0.9598\n",
      "Epoch 90/120\n",
      "3/3 [==============================] - 2s 495ms/step - loss: 0.0820 - accuracy: 0.9575\n",
      "Epoch 91/120\n",
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      "Epoch 92/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0801 - accuracy: 0.9571\n",
      "Epoch 93/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.0800 - accuracy: 0.9570\n",
      "Epoch 94/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.0780 - accuracy: 0.9586\n",
      "Epoch 95/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.0761 - accuracy: 0.9597\n",
      "Epoch 96/120\n",
      "3/3 [==============================] - 2s 506ms/step - loss: 0.0752 - accuracy: 0.9604\n",
      "Epoch 97/120\n",
      "3/3 [==============================] - 2s 504ms/step - loss: 0.0751 - accuracy: 0.9604\n",
      "Epoch 98/120\n",
      "3/3 [==============================] - 2s 492ms/step - loss: 0.0744 - accuracy: 0.9609\n",
      "Epoch 99/120\n",
      "3/3 [==============================] - 2s 503ms/step - loss: 0.0745 - accuracy: 0.9611\n",
      "Epoch 100/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.0710 - accuracy: 0.9624\n",
      "Epoch 101/120\n",
      "3/3 [==============================] - 2s 491ms/step - loss: 0.0694 - accuracy: 0.9631\n",
      "Epoch 102/120\n",
      "3/3 [==============================] - 2s 501ms/step - loss: 0.0698 - accuracy: 0.9638\n",
      "Epoch 103/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.0656 - accuracy: 0.9654\n",
      "Epoch 104/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.0642 - accuracy: 0.9660\n",
      "Epoch 105/120\n",
      "3/3 [==============================] - 2s 501ms/step - loss: 0.0661 - accuracy: 0.9651\n",
      "Epoch 106/120\n",
      "3/3 [==============================] - 2s 503ms/step - loss: 0.0656 - accuracy: 0.9655\n",
      "Epoch 107/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0640 - accuracy: 0.9663\n",
      "Epoch 108/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.0644 - accuracy: 0.9661\n",
      "Epoch 109/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0631 - accuracy: 0.9667\n",
      "Epoch 110/120\n",
      "3/3 [==============================] - 2s 493ms/step - loss: 0.0635 - accuracy: 0.9665\n",
      "Epoch 111/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.0620 - accuracy: 0.9674\n",
      "Epoch 112/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0614 - accuracy: 0.9674\n",
      "Epoch 113/120\n",
      "3/3 [==============================] - 2s 496ms/step - loss: 0.0630 - accuracy: 0.9668\n",
      "Epoch 114/120\n",
      "3/3 [==============================] - 2s 496ms/step - loss: 0.0647 - accuracy: 0.9662\n",
      "Epoch 115/120\n",
      "3/3 [==============================] - 2s 500ms/step - loss: 0.0619 - accuracy: 0.9674\n",
      "Epoch 116/120\n",
      "3/3 [==============================] - 2s 497ms/step - loss: 0.0627 - accuracy: 0.9662\n",
      "Epoch 117/120\n",
      "3/3 [==============================] - 2s 502ms/step - loss: 0.0597 - accuracy: 0.9683\n",
      "Epoch 118/120\n",
      "3/3 [==============================] - 2s 490ms/step - loss: 0.0602 - accuracy: 0.9679\n",
      "Epoch 119/120\n",
      "3/3 [==============================] - 2s 499ms/step - loss: 0.0643 - accuracy: 0.9663\n",
      "Epoch 120/120\n",
      "3/3 [==============================] - 2s 498ms/step - loss: 0.0618 - accuracy: 0.9674\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x7fde502f1fd0>"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = get_unet(mean)\n",
    "model.fit(images_original, images_gt, epochs=120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "gqzRXOBdSjL7"
   },
   "outputs": [],
   "source": [
    "### SAVE TRAINED MODEL ###\n",
    "\n",
    "model.save(root_path+'trained_models/fashion_unet.h5')"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Train_UNET.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
